/CryptoSentimentClassifier

a machine learning-based sentiment analysis project focused on cryptocurrency, particularly Bitcoin. It uses a logistic regression model combined with TF-IDF vectorization to classify Bitcoin-related text into positive, negative, or neutral sentiments. This project also allows for real-time sentiment prediction for any new text input.

Primary LanguageJupyter NotebookMIT LicenseMIT

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